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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 18985
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    INDEX
    Explanations

    phrases describing potential or perceived threats or dangers

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating appearances or perceived states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Apps
    -0.67
    blooded
    -0.65
     endings
    -0.63
    cart
    -0.62
     recalled
    -0.61
     Rapids
    -0.61
    mentation
    -0.61
    loads
    -0.60
    processing
    -0.60
    called
    -0.59
    POSITIVE LOGITS
     be
    0.89
     resemble
    0.82
     differentiate
    0.81
     indicate
    0.81
     violate
    0.81
     contradict
    0.79
     imitate
    0.78
     confirm
    0.77
     soften
    0.76
     condone
    0.76
    Activations Density 0.050%

    No Known Activations